A graduate of the Sound and Music Computing masters program at Aalborg University, Copenhagen, Thomas Rushton is a member of Inria’s embedded research team, Emeraude, and a PhD candidate at Lyon’s Institut National des Sciences Appliquées (INSA), developing a thesis entitled “Enabling Distributed Spatial Audio”.
He has acted as both contributor and mentor for Faust projects as part of the annual Google Summer of Code, and recently gave an introductory Faust workshop at the Centre for Computer Research in Music and Acoustics (CCRMA) at Stanford University.
Differentiable Digital Signal Processing is the application of differentiable programming, whereby a computer program may be differentiated end-to-end, to audio tasks.
A graduate of the Sound and Music Computing masters program at Aalborg University, Copenhagen, Thomas Rushton is a member of Inria’s embedded research team, Emeraude, and a PhD candidate at Lyon’s Institut National des Sciences Appliquées (INSA), developing a thesis entitled “Enabling Distributed Spatial Audio”.
A graduate of the Sound and Music Computing masters program at Aalborg University, Copenhagen, Thomas Rushton is a member of Inria’s embedded research team, Emeraude, and a PhD candidate at Lyon’s Institut National des Sciences Appliquées (INSA), developing a thesis entitled “Enabling Distributed Spatial Audio”.
He has acted as both contributor and mentor for Faust projects as part of the annual Google Summer of Code, and recently gave an introductory Faust workshop at the Centre for Computer Research in Music and Acoustics (CCRMA) at Stanford University.
Differentiable Digital Signal Processing is the application of differentiable programming, whereby a computer program may be differentiated end-to-end, to audio tasks.